151 citations · 159 across the 7 of their papers we have counts for
7 papers
Integrated Simulation Platform for Quantifying the Traffic-Induced Environmental and Health Impacts
Xuanpeng Zhao, Guoyuan Wu, Akula Venkatram +4
Air quality and human exposure to mobile source pollutants have become major concerns in urban transportation. Existing studies mainly focus on mitigating traffic congestion and re…
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud
Zhensong Wei, Xuewei Qi, Zhengwei Bai +6
Environment perception including detection, classification, tracking, and motion prediction are key enablers for automated driving systems and intelligent transportation applicatio…
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Zhengwei Bai, Peng Hao, Wei Shangguan +2
Taking advantage of both vehicle-to-everything (V2X) communication and automated driving technology, connected and automated vehicles are quickly becoming one of the transformative…
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei, Yu Jiang, Xishun Liao +5
This paper presented a deep reinforcement learning method named Double Deep Q-networks to design an end-to-end vision-based adaptive cruise control (ACC) system. A simulation envir…
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network
Zhensong Wei, Chao Wang, Peng Hao +1
Accurate lane localization and lane change detection are crucial in advanced driver assistance systems and autonomous driving systems for safer and more efficient trajectory planni…
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System
Ziran Wang, Yuan-Pu Hsu, Alexander Vu +9
In recent years, the development of connected and automated vehicle (CAV) technology has inspired numerous advanced applications targeted at improving existing transportation syste…